events

Image Creation with Generative AI

Description: This course explores image creation with generative AI. Participants will gain a primer on generative AI tools for image creation, considerations for using generative AI, and best practices for creating effective and accessible images for various use cases. Through hands-on activities, participants will develop skills in crafting descriptive prompts and selecting
appropriate visual styles to generate unique images with ChatGPT, Microsoft Copilot, and Adobe Firefly.

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.

*Disclaimers

  • This course utilizes Adobe tools which are available to faculty, staff, and select student populations. Students will need to ensure they have access to Adobe apps before attending this workshop.
  • Adobe Firefly and Express are accessed via the web. Participants do NOT need to download Adobe Creative Cloud.

Objectives: In this course, you will learn to:  

  • Understand the basics of generative AI technology for image creation
  • Write descriptive prompts and use visual style options to generate images
  • Employ best practices for creating effective and accessible images

Duration: 60 minutes

Experience Level: Little or no familiarity with generative AI tools for image creation

AI Literacy Essentials: Critical Analysis of Generative AI

Description: This course explores the critical analysis of generative AI to support responsible use of this technology. Learn how AI models are trained and why misinformation and biases may occur in AI-generated content. Develop strategies to analyze AI outputs and assess AI tools for quality and ethical considerations. Participants will be expected to engage in the evaluation process through collaborative, hands-on activities and reflective discussions.

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.   

Objectives: In this course, you will learn to:  

  • Describe how AI models are trained on data
  • Summarize how misinformation and biases occur from training data
  • Identify types of biases that arise in AI outputs
  • Critically analyze AI outputs for accuracy and potential biases
  • Explain how to critically evaluate AI tools

Duration: 60 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT

AI Literacy Essentials: Critical Analysis of Generative AI

Description: This course explores the critical analysis of generative AI to support responsible use of this technology. Learn how AI models are trained and why misinformation and biases may occur in AI-generated content. Develop strategies to analyze AI outputs and assess AI tools for quality and ethical considerations. Participants will be expected to engage in the evaluation process through collaborative, hands-on activities and reflective discussions.

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.   

Objectives: In this course, you will learn to:  

  • Describe how AI models are trained on data
  • Summarize how misinformation and biases occur from training data
  • Identify types of biases that arise in AI outputs
  • Critically analyze AI outputs for accuracy and potential biases
  • Explain how to critically evaluate AI tools

Duration: 60 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT

AI Literacy Essentials: Prompting for Practical Applications

Description: This course offers a focused exploration of prompting and iteration strategies for generative AI chatbots. Through collaborative, hands-on activities and interactive exercises, participants will learn to write clear, effective prompts, apply refinement techniques, and assess AI-generated outputs for accuracy and relevance to achieve more reliable and useful results in a variety of practical contexts.

This course is required to receive a digital badge for the AI Literacy Education Program.

Objectives: In this course, you will learn to: 

  • Write effective prompts to get accurate and useful results from AI tools
  • Refine and improve AI outputs using practical feedback and iteration techniques
  • Evaluate AI-generated content to determine its accuracy and relevance to your needs

Duration: 60 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT

AI Literacy Essentials: Prompting for Practical Applications

Description: This course offers a focused exploration of prompting and iteration strategies for generative AI chatbots. Through collaborative, hands-on activities and interactive exercises, participants will learn to write clear, effective prompts, apply refinement techniques, and assess AI-generated outputs for accuracy and relevance to achieve more reliable and useful results in a variety of practical contexts.

This course is required to receive a digital badge for the AI Literacy Education Program.

Objectives: In this course, you will learn to: 

  • Write effective prompts to get accurate and useful results from AI tools
  • Refine and improve AI outputs using practical feedback and iteration techniques
  • Evaluate AI-generated content to determine its accuracy and relevance to your needs

Duration: 60 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT

AI Literacy Essentials: Introduction to Generative AI

Description: This course introduces generative AI to those with little or no prior experience engaging with this emerging technology. Participants obtain a foundational understanding of generative AI, its associated opportunities and implications, and basic strategies for composing and iterating prompts. Participants will engage in hands-on interaction with AI chatbots (Microsoft Copilot or OpenAIChatGPT) to begin generating practical outputs for a variety of use cases.

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.   

Objectives: In this course, you will learn to:  

  • Summarize what generative AI is, how it works, and how it differs from other AI types
  • Describe accuracy and ethical considerations associated with generative AI
  • Identify task-related opportunities with generative AI
  • Apply foundational prompting strategies to produce practical outputs with generative AI chatbots

Duration: 60 minutes

Experience Level: Little or no familiarity with generative AI and/or AI chatbots necessary

Getting Started with ChatGPT Edu

Description: Curious about ChatGPT Edu and what it can do for you, but not sure where to start? This introductory workshop offers a guided tour of the secure, CSU-licensed version of OpenAI’s ChatGPT, available to all active SFSU faculty, staff, and students. You’ll learn what ChatGPT Edu is, how to access and navigate the platform, and how key features can support productivity and learning in various contexts. By the end of the session, you’ll be ready to explore ChatGPT Edu in your own work.

This workshop is brought to you by the AI Literacy Education Program.

Learning Objectives:

  • Understand what ChatGPT Edu is and what its benefits are
  • Access and navigate ChatGPT Edu through the SFSU workspace
  • Identify and explore key features for productivity and learning

Duration: 60 minutes

AI Workshop: Beyond the Basics on Custom GPTs for the Classroom

Join us in a hands-on workshop featuring brief presentations from faculty across the campus, who will share their experiences creating and using custom GPTs. You’ll see some demos of custom GPTs in action, and have plenty of time in guided break-out rooms to experiment with creating your own. 

 

The panelists featured in this workshop are: 

Brian Beatty, ELSIT

Sameer Verma, ISYS

Yiwen Chen, Marketing

Amy Latham, Business Communication

Aviva Sinervo, Psychology

Zhuwei Qin & Zhaoshuo Jiang, School of Engineering

 

If you missed CEETL's workshop on Basics of Custom GPTs, you can view the recording and slides and learn more on this page.

AI in Higher Ed — What’s Changing & How to Build Better Assessment

Featuring: Tina Austin
AI Strategist & Educator | UCLA & OpenAI Faculty Innovator

Tina Austin is a widely recognized thought leader in AI education, with over 12,000 professional followers on LinkedIn. She teaches AI ethics across biomedical research, computational biology, and communication, and her pioneering work in integrating AI into teaching since 2022 has reshaped how educators approach bias, pedagogy, and assessment.

Her work is featured on OpenAI’s website, and she was awarded a UCLA–OpenAI EDU License through a competitive proposal process. In 2025, she was recognized by ASU+GSV as one of the top AI innovators in education. Tina is also the creator of #UnBlooms, a framework that reimagines Bloom’s Taxonomy for the AI era—helping educators design meaningful, AI-resilient learning experiences.

Key Questions She’ll Explore in her Speech:

  • What are the biggest AI misconceptions holding educators back?
  • Where do faculty often get AI wrong—and what’s the real impact on students?
  • What are the top AI use cases and frameworks that actually work?

Why Should You Attend?
This isn’t another generic AI talk. You’ll walk away with fresh perspectives on AI in higher education and actionable insights you won’t find in mainstream discussions.

🗓 Date & Time: Friday, October 17, 2025, 12:00 PM (Pacific Time)
📍 Location: Online via Zoom
🔗 Join Here: https://shorturl.at/4EQVf
💻 Meeting ID: 818 7517 2828
🔑 Passcode: 251472

Pre-Webinar Survey:
If you plan to attend, please take a moment to complete this short survey to help our speaker tailor her session:
👉 https://forms.gle/BLaj6Fwsh7uXQRwWA

AI in Higher Ed — What’s Changing & How to Build Better Assessment featuring Tina Austin

Beyond Buzzword: How AI Agents are Transforming IT Operations

Our second talk features Mans Jabal, an AI & ML Engineering Leader at Deloitte, who will share practical use cases of how AI is transforming IT infrastructure and operations. Mans has over 20 years of experience leading technology strategy and architecture for Fortune 500 companies like McDonald’s, Toyota, Micron, and United Airlines. He brings invaluable insights from the front lines of digital transformation.

In this talk, Mans will discuss how AI can:
- Dramatically reduce the time required to detect and resolve IT issues
- Correlate data from systems and devices to minimize downtime and revenue loss
- Enable smarter, faster, and more resilient enterprise operations

📅 Date: Friday, October 10, 2025
⏰ Time: 12:00 PM (PST)
📍 Location: Online (Register to receive Zoom link)
🔗 Zoom Link: https://shorturl.at/zxDqQ
This event is open to all students, faculty, staff, and alumni at SFSU.

Beyond Buzzword: How AI Agents are Transforming IT Operations flyer